Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • MERAL
  • Universities
  • Ranking
AND
To


Index Link

Index Tree

WEKO

One fine body…

Item

{"_buckets": {"deposit": "b103cc5e-b7d3-4af0-ad79-c58741441601"}, "_deposit": {"id": "5072", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5072"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5072"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "WAS: Grouping of Web Sessions using Sequence Alignment Method", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The World Wide Web (WWW) is serving asa huge widely distributed global informationservice center for technical information. Webbased information and web applications areexploited the navigational traces of the users inorder to extract knowledge about their preferencesand their behavior on web usage mining. In WebUsage Mining, grouping web sessions are how tomeasure the similarity between web sessions fordetermining the behavior or intent of a set ofusers. This system performs grouping web accesssequences (WASs) as grouping web sessions usingsequence alignment method, which considers theglobal and local alignment techniques ofsimilarity measurement. The task of the globalalignment method is calculation of maximizing theintra-group similarity and local alignment methodis minimizing the inter-group similarity. In thispaper, this system is chronologically orderedsequences of page accessed as WASs according tolength of sessions."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_name_i18n": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-18"}], "displaytype": "preview", "download_preview_message": "", "filename": "66_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "237 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 237000, "url": {"url": "https://meral.edu.mm/record/5072/files/66_PDFsam_PSC_final proof.pdf"}, "version_id": "7560f508-b9de-4aaa-abdb-8cb158d1b294"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aye, Hnin Nu"}, {"subitem_authors_fullname": "Maw, Myint Myint"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/963"}, "item_title": "WAS: Grouping of Web Sessions using Sequence Alignment Method", "item_type_id": "21", "owner": "1", "path": ["1582963302567/1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005072", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-18"}, "publish_date": "2019-07-18", "publish_status": "0", "recid": "5072", "relation": {}, "relation_version_is_last": true, "title": ["WAS: Grouping of Web Sessions using Sequence Alignment Method"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

WAS: Grouping of Web Sessions using Sequence Alignment Method

http://hdl.handle.net/20.500.12678/0000005072
7a7906f5-4861-4ed3-9f14-796562bca7f7
b103cc5e-b7d3-4af0-ad79-c58741441601
Preview
Name / File License Actions
66_PDFsam_PSC_final 66_PDFsam_PSC_final proof.pdf (237 Kb)
Publication type Article
Upload type Publication
Title
WAS: Grouping of Web Sessions using Sequence Alignment Method
en
Publication date 2017-12-27
Authors
Aye, Hnin Nu
Maw, Myint Myint
Description
The World Wide Web (WWW) is serving asa huge widely distributed global informationservice center for technical information. Webbased information and web applications areexploited the navigational traces of the users inorder to extract knowledge about their preferencesand their behavior on web usage mining. In WebUsage Mining, grouping web sessions are how tomeasure the similarity between web sessions fordetermining the behavior or intent of a set ofusers. This system performs grouping web accesssequences (WASs) as grouping web sessions usingsequence alignment method, which considers theglobal and local alignment techniques ofsimilarity measurement. The task of the globalalignment method is calculation of maximizing theintra-group similarity and local alignment methodis minimizing the inter-group similarity. In thispaper, this system is chronologically orderedsequences of page accessed as WASs according tolength of sessions.
Journal articles
Eighth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 15:42:46.518982
Show All versions

Share

Mendeley CiteULike Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL